Professorship for Information Systems, in particular Data Science
Organisational unit: Professoship
Organisation profile
The Business Informatics working group, in particular Data Science, headed by Prof Dr Burkhardt Funk, is dedicated to the development and application of data-driven methods for decision support in companies and public institutions.
Main research areas
The research focus lies on the use of data science and machine learning to analyse large amounts of data in order to optimise processes and decisions. A central topic is the development of intelligent systems that support decisions through data-based predictions. Fields of application include healthcare and various operational functions (e.g. marketing, accounting). We have developed approaches for predicting the effectiveness and personalisation of healthcare interventions, methods for extracting knowledge from documents (business documents, scientific papers) and for optimal budget allocation in marketing.
- 2025
- Published
RL4CO: An Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
Berto, F., Hua, C., Park, J., Luttmann, L., Ma, Y., Bu, F., Wang, J., Ye, H., Kim, M., Choi, S., Zepeda, N. G., Hottung, A., Zhou, J., Bi, J., Hu, Y., Liu, F., Kim, H., Son, J., Kim, H., Angioni, D., Kool, W., Cao, Z., Zhang, Q., Kim, J., Zhang, J., Shin, K., Wu, C., Ahn, S., Song, G., Kwon, C., Tierney, K., Xie, L. & Park, J., 03.08.2025, KDD 2025 - Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Antonie, L., Pei, J. & Yu, X. (eds.). Association for Computing Machinery, p. 5278-5289 12 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 2).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
From Feedback to Formative Guidance: Leveraging LLMs for Personalized Support in Programming Projects
Ghoochani, F., Scharfenberger, J., Funk, B., Doublan, R., Jakharabhai Odedra, M. & Etsiwah, B., 12.06.2025, UMAP 2025 - Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization. Conati, C., Narducci, F., Rossiello, G., Musto, C. & Vassileva, J. (eds.). Association for Computing Machinery, Inc, p. 398-403 6 p. (UMAP 2025 - Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
The promise and challenges of computer mouse trajectories in DMHIs – A feasibility study on pre-treatment dropout predictions
Zantvoort, K., Matthiesen, J., Bjurner, P., Bendix, M., Brefeld, U., Funk, B. & Kaldo, V., 06.2025, In: Internet Interventions. 40, 7 p., 100828.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Capitalizing on natural language processing (NLP) to automate the evaluation of coach implementation fidelity in guided digital cognitive-behavioral therapy (GdCBT)
Zainal, N. H., Eckhardt, R., Rackoff, G. N., Fitzsimmons-Craft, E. E., Rojas-Ashe, E., Barr Taylor, C., Funk, B., Eisenberg, D., Wilfley, D. E. & Newman, M. G., 02.04.2025, In: Psychological Medicine. 55, e106.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Construct relation extraction from scientific papers: Is it automatable yet?
Funk, B. & Scharfenberger, J., 07.01.2025, Proceedings of the 58th Hawaii International Conference on System Sciences, HICSS 2025. Bui, T. X. (ed.). Honolulu: University of Hawaii at Manoa, p. 4675-4684 10 p. (Hawaii International Conference on System Sciences (HICSS); vol. 2025).Research output: Contributions to collected editions/works › Published abstract in conference proceedings › Research › peer-review
- 2024
- Published
Estimation of minimal data sets sizes for machine learning predictions in digital mental health interventions
Zantvoort, K., Nacke, B., Görlich, D., Hornstein, S., Jacobi, C. & Funk, B., 12.2024, In: npj Digital Medicine. 7, 1, 10 p., 361.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Predicting recurrent chat contact in a psychological intervention for the youth using natural language processing
Hornstein, S., Scharfenberger, J., Lueken, U., Wundrack, R. & Hilbert, K., 12.2024, In: npj Digital Medicine. 7, 1, 9 p., 132.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Identifying clinically relevant agranulocytosis in people registered on the UK clozapine Central Non-Rechallenge Database: retrospective cohort study
Oloyede, E., Bachmann, C. J., Dzahini, O., Lopez Alcaraz, J. M., Singh, S. D., Vallianatu, K., Funk, B., Whiskey, E. & Taylor, D., 11.2024, In: The British Journal of Psychiatry. 225, 5, p. 484-491 8 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
A Universal Digital Stress Management Intervention for Employees: Randomized Controlled Trial with Health-Economic Evaluation
Freund, J., Smit, F., Lehr, D., Zarski, A. C., Berking, M., Riper, H., Funk, B., Ebert, D. D. & Buntrock, C., 22.10.2024, In: Journal of Medical Internet Research. 26, 13 p., e48481.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Use of Machine-Learning Algorithms Based on Text, Audio and Video Data in the Prediction of Anxiety and Post-Traumatic Stress in General and Clinical Populations: A Systematic Review
Ciharova, M., Amarti, K., van Breda, W., Peng, X., Lorente-Català, R., Funk, B., Hoogendoorn, M., Koutsouleris, N., Fusar-Poli, P., Karyotaki, E., Cuijpers, P. & Riper, H., 01.10.2024, In: Biological Psychiatry. 96, 7, p. 519-531 13 p.Research output: Journal contributions › Scientific review articles › Research
